arXiv AI June 18, 2026 By Qiqi Liu, Runhan Song, Lei Cui, Heng Zhang, Yuyan Sun, Limin Sun

MIDS: Detecting Stealthy Masquerade and Tampering Attacks on CAN Bus via Bidirectional Mamba

arXiv:2606. 18599v1 Announce Type: cross Abstract: The Controller Area Network (CAN) protocol is the primary communication standard for Electronic Control Units (ECUs) in modern vehicles, but its lack of encryption and authentication exposes it to a range of security threats.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

arXiv Machine Learning

Aug 7

Behavioral Residualization for Unsupervised Intrusion Detection in Automotive CAN Networks

arXiv:2608. 05548v1 Announce Type: cross Abstract: Modern vehicles rely on the Controller Area Network (CAN) bus, whose design prioritizes low cost and real-time performance but provides no message authentication or encryption.

By Chandan Hegde, Mukundh R Reddy

robotics

arXiv Machine Learning

Jun 30

CAN We Trust Your Results? A Cross-Dataset Study of Automotive IDS Evaluation

arXiv:2606. 30430v1 Announce Type: cross Abstract: The increasing connectivity of modern vehicles has made securing in-vehicle communication networks a critical challenge.

By Beatrix Koltai, Gergely Acs, Andras Gazdag

benchmarks

arXiv AI

Jun 2

A Protocol-Language Model for Network Intrusion (Without Deep Packet Inspection)

arXiv:2606. 00155v1 Announce Type: cross Abstract: Modern network intrusion detection systems (NIDS) are caught in a structural contradiction: the protocols carrying the highest threat intelligence are precisely those encrypted under TLS 1.

By Vivek Kumar Sharma

llms fine-tuning safety

arXiv Machine Learning

Jun 2

NOS-Gate: Queue-Aware Streaming IDS for Consumer Gateways under Timing-Controlled Evasion

arXiv:2601. 00389v2 Announce Type: replace-cross Abstract: Timing and burst patterns can leak through encryption, and an adaptive adversary can exploit them.

By Muhammad Bilal, Omer Tariq, Hasan Ahmed

benchmarks

arXiv AI

Jun 15

From Shield to Target: Denial-of-Service Attacks on LLM-Based Agent Guardrails

arXiv:2606. 14517v1 Announce Type: cross Abstract: LLM-based guardrails have emerged as a highly effective defense against prompt injection and jailbreak attacks in autonomous agents.

By Yuguang Zhou, Xunguang Wang, Pingchuan Ma, Zhantong Xue, Zhaoyu Wang, Shuai Wang

llms agents benchmarks safety

arXiv AI

Jun 30

RIPA: Sensory-Vector Prompt Injection Attacks on LLM-Controlled ROS 2 Robots

arXiv:2606. 28649v1 Announce Type: cross Abstract: We present RIPA, the first systematic multi-channel empirical study of prompt injection attacks delivered through the sensory pipeline of a ROS 2-based LLM-controlled robotic system.

By Nima Dorzhiev

llms computer-vision robotics multimodal

Related stories

Behavioral Residualization for Unsupervised Intrusion Detection in Automotive CAN Networks

CAN We Trust Your Results? A Cross-Dataset Study of Automotive IDS Evaluation

A Protocol-Language Model for Network Intrusion (Without Deep Packet Inspection)

NOS-Gate: Queue-Aware Streaming IDS for Consumer Gateways under Timing-Controlled Evasion

From Shield to Target: Denial-of-Service Attacks on LLM-Based Agent Guardrails

RIPA: Sensory-Vector Prompt Injection Attacks on LLM-Controlled ROS 2 Robots